Data Analyst

Barclays’ interview process typically starts with a timed online aptitude test, followed by a technical interview that probes your knowledge of data‑visualisation tools, SQL, and analytical thinking through case studies. The final HR round assesses cultural fit, communication skills, and motivation. Preparation should focus on real‑world data scenarios and clear articulation of insights.

Barclays promotes a collaborative and inclusive work environment where employees are encouraged to voice ideas and drive innovation. The firm offers structured career growth, regular upskilling opportunities, and a balanced work‑life rhythm despite the global shift overlap.

Bachelor’s degree in Computer Science or related engineering discipline (preferably CS). Minimum 60% aggregate in the final year. Fresh graduates from the 2023‑2025 batch. No active backlogs at the time of joining. Strong analytical mindset and proficiency in English communication.

Round 1: Online aptitude test (logical reasoning, quantitative, verbal) → Round 2: Technical interview (data analytics concepts, tools, case study) → Round 3: HR interview (behavioral fit, cultural alignment)

Barclays is a global financial services powerhouse with a legacy spanning over three centuries. Headquartered in London, the bank operates in more than 40 countries, offering banking, investment, and wealth management solutions to a diverse client base. In India, Barclays has built a strong presence in major metros, focusing on digital transformation, risk management, and innovative data‑driven products. The company’s culture emphasizes integrity, collaboration, and continuous learning, making it an attractive destination for ambitious fresh graduates. The Data Analyst role at Barclays is designed for fresh talent eager to translate massive data sets into actionable business insights. Reporting to the Assistant Vice President, the analyst will work closely with HR, risk, and operations teams to build robust reporting frameworks, develop interactive dashboards, and support strategic decision‑making. The position follows overlapping UK work hours, typically from 11 AM or 12 Noon to 8 PM or 9 PM Indian time, ensuring seamless collaboration with global stakeholders. Key responsibilities include: 1. Investigating data quality issues, documenting sources, and recommending remediation steps. 2. Designing and automating data pipelines for efficient data movement. 3. Applying advanced analytics and statistical techniques to uncover trends and correlations. 4. Building logical data models and validating them against business requirements. 5. Creating interactive visualisations using Qlik Sense or Power BI. 6. Automating regular and ad‑hoc reporting processes. 7. Translating analytical findings into concrete business recommendations. 8. Collaborating with cross‑functional teams to align data initiatives with strategic goals. 9. Supporting risk and control frameworks through data‑driven insights. 10. Mentoring junior analysts and contributing to knowledge‑sharing sessions. The tech stack revolves around Workday Report Writer, Qlik Sense, Power BI, advanced MS Excel, Power Query, Power Apps, and Python for scripting and basic machine‑learning tasks. Familiarity with SQL and data‑warehouse concepts is advantageous. Barclays offers a clear growth trajectory: high‑performing analysts can progress to senior analyst, then to data‑science or analytics manager roles, eventually moving into leadership positions such as Assistant Vice President or higher. The bank invests heavily in upskilling through internal training platforms, certifications, and mentorship programs. Why join Barclays? Freshers gain exposure to global best practices, work on real‑world financial data, and benefit from a supportive environment that values innovation and personal development. The overlapping shift provides a unique opportunity to understand international business rhythms while still based in India.